Aquanode DocsQuickstart
Deploy your first GPU instance on Aquanode in minutes.
Create an Account
- Sign up for an Aquanode account
- Verify your email address
- Complete the account setup process
Deploy Your First GPU Instance
- Open the Marketplace
- Select a GPU type and provider:
- RTX 4090 – Cost-effective for inference
- A100 – Balanced for training and inference
- H100 – High performance for large models
- ...and more available options
- Choose a Pre-Configured VM template
- Enter your resource requirements (RAM, vCPUs, and storage) and provide your SSH public key
- Click Deploy
Your instance will be available within 1–2 minutes.
Connect to Your Instance
- Open the list of deployments
- Select your running deployment
- In the Connect section, copy the SSH command
- Paste the command into your terminal to access the instance
Monitor Your Deployment
- Go to Deployments
- Select a deployment and open its details
- Monitor key metrics:
- Active Deployments
- GPU Usage
- Monthly Usage
Clean Up
To avoid unnecessary charges:
- Navigate to Deployments
- Select your running deployment
- Click Stop to shut down the instance
Next Steps
- Explore Templates – Try pre-built environments for common AI workloads
- Model Pipeline – Host and manage your own models on Aquanode
Introduction
Aquanode supercharges GPU infrastructure with advanced capabilities so you can build faster.
Supported GPU Providers
Aquanode integrates multiple providers to ensure reliable, cost-efficient, and flexible GPU compute. Provider selection is handled automatically based on availability, pricing, and performance requirements.